week 5 paired t-test

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Vocabulary flashcards covering key concepts in psychological research methods.

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17 Terms

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Paired t-test

A parametric test used to determine whether the means of two related groups are statistically different from each other.

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Inferential statistics

Statistical methods that allow us to infer conclusions about populations based on sample data.

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Descriptive statistics

Statistics that summarize or describe the characteristics of a data set.

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Null hypothesis (H0)

The hypothesis that there is no effect or no difference; it serves as a default position until evidence suggests otherwise.

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Experimental hypothesis (H1)

The hypothesis that there is a difference or effect; it is what researchers aim to support through their data.

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Type I error

The incorrect rejection of a true null hypothesis; a false positive.

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Type II error

The failure to reject a false null hypothesis; a false negative.

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Probability (p)

A measure expressed as a proportion indicating the likelihood of a particular outcome or result.

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Significance level (alpha)

A predetermined threshold (commonly set at 0.05) used to decide whether to reject the null hypothesis.

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Wilcoxon signed-rank test

A non-parametric test used to compare two related samples, often used as an alternative to the paired t-test when data assumptions are not met.

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Independent t-test

A parametric test used to compare the means of two independent groups.

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Mann-Whitney U test

A non-parametric test used to compare differences between two independent groups.

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ANOVA (Analysis of Variance)

A statistical method used to determine if there are any statistically significant differences between the means of three or more independent groups.

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Cohen's d

A measure of effect size that indicates the standardized difference between two means.

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Normal distribution

A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence.

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Parametric tests

Statistical tests that assume the underlying data follows a certain distribution, often normal.

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Non-parametric tests

Statistical tests that do not assume a specific distribution and can be used with ordinal data.